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Joint Test Action Group

Publications associées (34)

A 128-kbit GC-eDRAM With Negative Boosted Bootstrap Driver for 11.3x Lower-Refresh Frequency at a 2.5% Area Overhead in 28-nm FD-SOI

Andreas Peter Burg, Robert Giterman, Halil Andac Yigit, Emmanuel Nieto Casarrubias

Gain-cell embedded DRAM (GC-eDRAM) is a high-density logic-compatible alternative to conventional static random-access memory (SRAM) and embedded DRAM (eDRAM). However, GC-eDRAM suffers from a reduced data retention time (DRT) at deeply-scaled process node ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Low-Cost Side-Channel Secure Standard 6T-SRAM-Based Memory With a 1% Area and Less Than 5% Latency and Power Overheads

Robert Giterman

Side-channel attacks constitute a concrete threat to IoT systems-on-a-chip (SoCs). Embedded memories implemented with 6T SRAM macrocells often dominate the area and power consumption of these SoCs. Regardless of the computational platform, the side-channel ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing

Christian Enz, Vincent Frédéric Camus

The current trend for deep learning has come with an enormous computational need for billions of Multiply-Accumulate (MAC) operations per inference. Fortunately, reduced precision has demonstrated large benefits with low impact on accuracy, paving the way ...

IEEE2019

FPGA-Assisted Deterministic Routing for FPGAs

Mirjana Stojilovic, Dario Korolija

FPGA routing is one of the most time-consuming steps of FPGA compilation, often preventing fast edit-compile-test cycles in prototyping and development. There have been attempts to accelerate FPGA routing using algorithmic improvements, multi-core or multi ...

2019

Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications

David Atienza Alonso, Giovanni Ansaloni, Miguel Peon Quiros, Soumya Subhra Basu, Loris Gérard Duch

In the Internet-of-Things (IoT) era, there is an increasing trend to enable intelligent behavior in edge computing sensors. Thus, a new generation of smart wearable devices for health monitoring is being developed, able to perform complex Digital Signal Pr ...

IEEE2018

An FPGA-Based Test System for RRAM Technology Characterization

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Maxime Victor Thammasack, Armando Biscontini

Resistive random access memory (RRAM) technologies have recently gained large attention from the academic and industrial research communities. Significant efforts have been made to enhance the performance of the memory stacks from both communities through ...

2018

Single-End FPGA-Based Fault Location System for Radial/Meshed AC/DC Networks based on the Electromagnetic Time Reversal Theory

Mario Paolone, Reza Razzaghi

The paper presents an automated single-end FPGA-based fault location system for AC/DC power networks. The proposed system is based on the electromagnetic time reversal theory and uses an automated FPGA-based real-time simulator to perform the fault locatio ...

IEEE2017

A Synchronization-Based Hybrid-Memory Multi-Core Architecture for Energy-Efficient Biomedical Signal Processing

David Atienza Alonso, Giovanni Ansaloni, Ruben Braojos Lopez, Luca Benini

In the last decade, improvements on technology scaling have enabled the design of a novel generation of wearable bio-sensing monitors. These smart Wireless Body Sensor Nodes (WBSNs) are able to acquire and process biological signals, such as electrocardiog ...

Institute of Electrical and Electronics Engineers2017

Circuit Design, Architecture and CAD for RRAM-based FPGAs

Xifan Tang

Field Programmable Gate Arrays (FPGAs) have been indispensable components of embedded systems and datacenter infrastructures. However, energy efficiency of FPGAs has become a hard barrier preventing their expansion to more application contexts, due to two ...

EPFL2017

Neural Dynamics of Grouping and Segmentation Explain Properties of Visual Crowding

Michael Herzog, Gregory Francis, Mauro Manassi

Investigations of visual crowding, where a target is difficult to identify because of flanking elements, has largely used a theoretical perspective based on local interactions where flanking elements pool with or substitute for properties of the target. Th ...

American Psychological Association2017

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